activity
20232026
most citedEnhancing Zero-Shot Crypto Sentiment with Fine-tuned Language Model and Prompt Engineering

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

BenHalluEval: A Multi-Task Hallucination Evaluation Framework for Large Language Models on Bengali

Shefayat E Shams Adib, Ahmed Alfey Sani, Ekramul Alam Esham +3

Despite Bengali being the sixth most spoken language in the world, no prior work has systematically evaluated hallucination in large language models (LLMs) for Bengali. We introduc…

cs.SE2025

Progressive Code Integration for Abstractive Bug Report Summarization

Shaira Sadia Karim, Abrar Mahmud Rahim, Lamia Alam +4

Bug reports are often unstructured and verbose, making it challenging for developers to efficiently comprehend software issues. Existing summarization approaches typically rely on…

cs.CV2025

Personalized Federated Segmentation with Shared Feature Aggregation and Boundary-Focused Calibration

Ishmam Tashdeed, Md. Atiqur Rahman, Sabrina Islam +1

Personalized federated learning (PFL) possesses the unique capability of preserving data confidentiality among clients while tackling the data heterogeneity problem of non-independ…

cs.CV2024

Visual Robustness Benchmark for Visual Question Answering (VQA)

Md Farhan Ishmam, Ishmam Tashdeed, Talukder Asir Saadat +3

Can Visual Question Answering (VQA) systems perform just as well when deployed in the real world? Or are they susceptible to realistic corruption effects e.g. image blur, which can…

cs.CL20231 cited

Enhancing Zero-Shot Crypto Sentiment with Fine-tuned Language Model and Prompt Engineering

Rahman S M Wahidur, Ishmam Tashdeed, Manjit Kaur +1

Blockchain technology has revolutionized the financial landscape, with cryptocurrencies gaining widespread adoption for their decentralized and transparent nature. As the sentiment…